Linear solvers · Sports & Wearables
Conjugate Gradient (CG) for Sports & Wearables
Apply the conjugate gradient (cg) to real sports & wearables problems — in the browser, with AI assistance.
CG minimizes the residual over expanding Krylov subspaces, converging far faster than stationary methods for SPD systems common in FEM.
In sports & wearables, teams face challenges like aerodynamics, comfort and fit, battery life. The conjugate gradient (cg) directly supports use cases such as cycling aerodynamics, fabric drape, wearable thermal design, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Sports & Wearables use cases
- Cycling aerodynamics
- Fabric drape
- Wearable thermal design
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